To begin with this discussion, we can say that as a new field in Machine Learning, Federated Learning has to overcome many challenges. In this post on Challenges in Adopting Federated Learning, I will highlight the open issues and challenges that we still have to overcome. Basically, Federated Learning is a new kind of Machine …
Privacy and Security Mechanisms for Federated Learning
In this post on Privacy and Security Mechanisms for Federated Learning, I will discuss some of the mechanisms for achieving the privacy in Federated Learning approach. Although, these issues are still the topic of research, yet few techniques are emerging that we can use in preserving the privacy of user data. Why Privacy Mechanisms are …
Prominent Applications of Deep Learning in Agriculture
In this post on Prominent Applications of Deep Learning in Agriculture, I will discuss 10 significant application scenarios. In fact, all such applications can greatly benefit from Deep Learning Techniques. What is Deep Learning? Deep Learning is a subset of machine learning. Mainly Deep Learning comprises techniques that take inspiration from the way how the …
Federated Learning Architectures and Their Applications
In this post on Federated Learning Architectures and Their Applications, I will talk about various architectures for implementing Federated Learning and application scenarios of each of them. In my earlier post on Federated Learning, I have discussed the basic concepts and pros and cons of this new technique of building machine learning models. However, when we …